Security Deep Dive
OpenHands
Security posture and CVE patch evidence from tracked releases.
1 actively-exploited dependency CVE affects 1.7.0.
KEV-listed CVEs are confirmed exploited in the wild — patch urgently.
— Signed
— SLSA
✓ SBOM
✗ Security policy
Monthly cadence · 17d median
Active maintainer
Trust Signals — 3 of 9 Present
Evidence already collected from releases and repository metadata.
3/9
Present
Signed releases
Unknown
Latest release artifact signature
Latest release
—
SLSA provenance
Unknown
Attestation predicate level
Latest release
—
SBOM published
Present
GitHub SBOM API
Latest release
Last verified: 28d ago
SECURITY.md
Absent
GitHub repository metadata
Repository policy
Checked: 23d ago
Release cadence: monthly
Present
17d median over recent releases
Release history
Latest release: 1mo ago
Maintainer active
Present
Recent commit activity
Repository
Last commit: 4d ago
Checksums (SHA256SUMS)
Not active yet
SHA256SUMS or equivalent
Release asset
Latest release: 1mo ago
GitHub Actions attestation
Not active yet
actions/attest-build-provenance
Workflow file
Latest release: 1mo ago
Signing assets
Not active yet
.sig, .crt, cosign.pub, or similar
Release asset
Latest release: 1mo ago
3.8/10
Security Score
Dependency Exposure
181 transitive dependency
CVEs found in the latest SBOM.
21 critical.
Security Score
A composite score aggregating Scorecard performance, CVE patch history, OpenSSF badge tier, and dependency vulnerability exposure. Score ≥ 7.0 is healthy; < 4.0 warrants attention.
epss
0.25 / 0.5
No EPSS data
freshness
1.00 / 1.0
4d stale
scorecard
2.00 / 4.0
⚠ Estimated — not yet collected
cve health
0.00 / 2.5
No open CVEs
patch speed
0.50 / 0.5
⚠ Estimated — no CVE patch history
kev exposure
1.50 / 1.5
No KEV exposure
supply chain risk
-1.50 / 10.0
Risk 100.0/100
Score breakdown
schema v2Vulnerability posture
vulnerability posture
0.0
25%
direct cves: clear
cve scan: available
Release responsiveness
release responsiveness
10.0
5%
patch speed days: no_history
Dependency exposure
dependency exposure
0.0
10%
supply chain risk: 100.0
transitive cves: 21c/98h
Provenance trust
provenance trust
5.0
40%
scorecard score: estimated
openssf badge: none
Maintainer health
maintainer health
10.0
10%
activity freshness: 4d
Operational risk
operational risk
8.5
10%
kev exposure: detected
epss max: none
How is this calculated?
The six dimensions group the legacy score signals into weighted categories: direct vulnerability status, patch responsiveness, dependency exposure, provenance checks, maintainer activity, and exploitability risk. The flat component values above remain available for compatibility.
Supply Chain Risk
Risk 100.0/100
21
Transitive critical CVEs
1
KEV-transitive CVEs
64%
Dependency freshness
OpenSSF Badge
OpenSSF none
Badge indicates adherence to open-source best practices.
Dependency Vulnerabilities
2908 dependencies scanned
View full dependency list →
Scanning the SBOM (Software Bill of Materials) of the latest release for known vulnerabilities in transitive dependencies.
Critical
21
High
98
Medium
53
Low
3
Unknown
6
1 dependency vulnerabilities are in KEV.
CISA confirmed these vulnerabilities are actively exploited. Treat as critical priority.
Critical
21
High
98
Medium
53
Low
3
Unknown
6
| CVE | Severity | KEV | Dependency | Affected version | Cleared in release |
|---|---|---|---|---|---|
| CVE-2012-0805 | critical | — | sqlalchemy | — | — |
| CVE-2014-3007 | critical | — | pillow | — | — |
| CVE-2016-4009 | critical | — | pillow | — | — |
| CVE-2019-17626 | critical | — | reportlab | — | — |
| CVE-2019-19450 | critical | — | reportlab | — | — |
| CVE-2019-6446 | critical | — | numpy | — | — |
| CVE-2019-7164 | critical | — | sqlalchemy | — | — |
| CVE-2019-7548 | critical | — | sqlalchemy | — | — |
| CVE-2020-11538 | critical | — | pillow | — | — |
| CVE-2020-13092 | critical | — | scikit-learn | — | — |
| CVE-2020-17446 | critical | — | asyncpg | — | — |
| CVE-2020-5310 | critical | — | pillow | — | — |
| CVE-2020-5311 | critical | — | pillow | — | — |
| CVE-2020-5312 | critical | — | pillow | — | — |
| CVE-2021-25289 | critical | — | pillow | — | — |
| CVE-2021-34552 | critical | — | pillow | — | — |
| CVE-2021-41945 | critical | — | httpx | — | — |
| CVE-2022-22817 | critical | — | pillow | — | — |
| CVE-2023-41419 | critical | — | gevent | — | — |
| CVE-2023-50447 | critical | — | pillow | — | — |
| CVE-2026-42208 | critical | — | litellm | 1.83.0 | — |
| CVE-2014-1858 | high | — | numpy | — | — |
| CVE-2014-1859 | high | — | numpy | — | — |
| CVE-2014-1932 | high | — | pillow | — | — |
| CVE-2014-3589 | high | — | pillow | — | — |
| CVE-2014-3598 | high | — | pillow | — | — |
| CVE-2014-9601 | high | — | pillow | — | — |
| CVE-2016-0775 | high | — | pillow | — | — |
| CVE-2016-1516 | high | — | opencv-python | — | — |
| CVE-2016-2533 | high | — | pillow | — | — |
| CVE-2016-3076 | high | — | pillow | — | — |
| CVE-2016-9190 | high | — | pillow | — | — |
| CVE-2017-1000450 | high | — | opencv-python | — | — |
| CVE-2017-12597 | high | — | opencv-python | — | — |
| CVE-2017-12598 | high | — | opencv-python | — | — |
| CVE-2017-12599 | high | — | opencv-python | — | — |
| CVE-2017-12600 | high | — | opencv-python | — | — |
| CVE-2017-12601 | high | — | opencv-python | — | — |
| CVE-2017-12602 | high | — | opencv-python | — | — |
| CVE-2017-12603 | high | — | opencv-python | — | — |
| CVE-2017-12604 | high | — | opencv-python | — | — |
| CVE-2017-12605 | high | — | opencv-python | — | — |
| CVE-2017-12606 | high | — | opencv-python | — | — |
| CVE-2017-12852 | high | — | numpy | — | — |
| CVE-2017-12862 | high | — | opencv-python | — | — |
| CVE-2017-12863 | high | — | opencv-python | — | — |
| CVE-2017-12864 | high | — | opencv-python | — | — |
| CVE-2017-18009 | high | — | opencv-python | — | — |
| CVE-2019-14491 | high | — | opencv-python | — | — |
| CVE-2019-14492 | high | — | opencv-python | — | — |
| CVE-2019-14493 | high | — | opencv-python | — | — |
| CVE-2019-16865 | high | — | pillow | — | — |
| CVE-2019-19911 | high | — | pillow | — | — |
| CVE-2019-5063 | high | — | opencv-python | — | — |
| CVE-2019-5064 | high | — | opencv-python | — | — |
| CVE-2019-9423 | high | — | opencv-python | — | — |
| CVE-2020-10177 | high | — | pillow | — | — |
| CVE-2020-10378 | high | — | pillow | — | — |
| CVE-2020-10379 | high | — | pillow | — | — |
| CVE-2020-10994 | high | — | pillow | — | — |
| CVE-2020-28463 | high | — | reportlab | — | — |
| CVE-2020-28975 | high | — | scikit-learn | — | — |
| CVE-2020-35653 | high | — | pillow | — | — |
| CVE-2020-35654 | high | — | pillow | — | — |
| CVE-2020-5313 | high | — | pillow | — | — |
| CVE-2021-23437 | high | — | pillow | — | — |
| CVE-2021-25287 | high | — | pillow | — | — |
| CVE-2021-25288 | high | — | pillow | — | — |
| CVE-2021-25290 | high | — | pillow | — | — |
| CVE-2021-25291 | high | — | pillow | — | — |
| CVE-2021-25293 | high | — | pillow | — | — |
| CVE-2021-27921 | high | — | pillow | — | — |
| CVE-2021-27922 | high | — | pillow | — | — |
| CVE-2021-27923 | high | — | pillow | — | — |
| CVE-2021-28675 | high | — | pillow | — | — |
| CVE-2021-28676 | high | — | pillow | — | — |
| CVE-2021-28677 | high | — | pillow | — | — |
| CVE-2021-41495 | high | — | numpy | — | — |
| CVE-2022-24303 | high | — | pillow | — | — |
| CVE-2022-30595 | high | — | pillow | — | — |
| CVE-2022-45198 | high | — | pillow | — | — |
| CVE-2022-45199 | high | — | pillow | — | — |
| CVE-2023-33733 | high | — | reportlab | — | — |
| CVE-2023-44271 | high | — | pillow | — | — |
| CVE-2023-4863 | high | KEV | pillow | — | — |
| CVE-2024-28219 | high | — | pillow | — | — |
| CVE-2025-48379 | high | — | pillow | — | — |
| CVE-2025-53365 | high | — | mcp | — | — |
| CVE-2025-53366 | high | — | mcp | — | — |
| CVE-2025-59288 | high | — | playwright | 1.53.1 | — |
| CVE-2025-61385 | high | — | pg8000 | — | — |
| CVE-2025-66416 | high | — | mcp | — | — |
| CVE-2025-68429 | high | — | storybook | 9.0.12 | — |
| CVE-2026-25990 | high | — | pillow | — | — |
| CVE-2026-27148 | high | — | storybook | 9.0.12 | — |
| CVE-2026-33079 | high | — | mistune | 3.2.0 | — |
| CVE-2026-35397 | high | — | jupyter-server | 2.17.0 | — |
| CVE-2026-40110 | high | — | jupyter-server | 2.17.0 | — |
| CVE-2026-40171 | high | — | jupyterlab | 4.5.6 | — |
| CVE-2026-40171 | high | — | notebook | 7.5.5 | — |
| CVE-2026-40192 | high | — | pillow | — | — |
| CVE-2026-40934 | high | — | jupyter-server | 2.17.0 | — |
| CVE-2026-42033 | high | — | axios | 1.15.0 | — |
| CVE-2026-42035 | high | — | axios | 1.15.0 | — |
| CVE-2026-42043 | high | — | axios | 1.15.0 | — |
| CVE-2026-42203 | high | — | litellm | 1.83.0 | — |
| CVE-2026-42215 | high | — | gitpython | 3.1.46 | — |
| CVE-2026-42264 | high | — | axios | 1.15.0 | — |
| CVE-2026-42266 | high | — | jupyterlab | 4.5.6 | — |
| CVE-2026-42271 | high | — | litellm | 1.83.0 | — |
| CVE-2026-42284 | high | — | gitpython | 3.1.46 | — |
| CVE-2026-42311 | high | — | pillow | — | — |
| CVE-2026-42557 | high | — | notebook | 7.5.5 | — |
| CVE-2026-42557 | high | — | jupyterlab | 4.5.6 | — |
| CVE-2026-42561 | high | — | python-multipart | 0.0.26 | — |
| CVE-2026-44243 | high | — | gitpython | 3.1.46 | — |
| CVE-2026-44244 | high | — | gitpython | 3.1.46 | — |
| CVE-2026-44307 | high | — | mako | 1.3.10 | — |
| GHSA-qr4w-53vh-m672 | high | — | opencv-python | — | — |
| CVE-2014-1933 | medium | — | pillow | — | — |
| CVE-2016-0740 | medium | — | pillow | — | — |
| CVE-2016-1517 | medium | — | opencv-python | — | — |
| CVE-2016-9189 | medium | — | pillow | — | — |
| CVE-2017-14136 | medium | — | opencv-python | — | — |
| CVE-2017-17760 | medium | — | opencv-python | — | — |
| CVE-2018-5268 | medium | — | opencv-python | — | — |
| CVE-2018-5269 | medium | — | opencv-python | — | — |
| CVE-2019-15939 | medium | — | opencv-python | — | — |
| CVE-2019-16249 | medium | — | opencv-python | — | — |
| CVE-2019-19624 | medium | — | opencv-python | — | — |
| CVE-2020-35655 | medium | — | pillow | — | — |
| CVE-2021-25292 | medium | — | pillow | — | — |
| CVE-2021-28678 | medium | — | pillow | — | — |
| CVE-2021-33430 | medium | — | numpy | — | — |
| CVE-2021-34141 | medium | — | numpy | — | — |
| CVE-2021-41496 | medium | — | numpy | — | — |
| CVE-2022-22815 | medium | — | pillow | — | — |
| CVE-2022-22816 | medium | — | pillow | — | — |
| CVE-2024-5206 | medium | — | scikit-learn | — | — |
| CVE-2025-61669 | medium | — | jupyter-server | 2.17.0 | — |
| CVE-2025-69873 | medium | — | ajv | 6.12.6 | — |
| CVE-2025-71176 | medium | — | pytest | — | — |
| CVE-2026-33532 | medium | — | yaml | 2.8.2 | — |
| CVE-2026-33750 | medium | — | brace-expansion | 2.0.2 | — |
| CVE-2026-39373 | medium | — | jwcrypto | 1.5.6 | — |
| CVE-2026-39377 | medium | — | nbconvert | 7.17.0 | — |
| CVE-2026-39378 | medium | — | nbconvert | 7.17.0 | — |
| CVE-2026-40260 | medium | — | pypdf | 6.9.2 | — |
| CVE-2026-41168 | medium | — | pypdf | 6.9.2 | — |
| CVE-2026-41205 | medium | — | mako | 1.3.10 | — |
| CVE-2026-41238 | medium | — | dompurify | 3.3.2 | — |
| CVE-2026-41239 | medium | — | dompurify | 3.3.2 | — |
| CVE-2026-41240 | medium | — | dompurify | 3.3.2 | — |
| CVE-2026-41305 | medium | — | postcss | 8.5.6 | — |
| CVE-2026-41312 | medium | — | pypdf | 6.9.2 | — |
| CVE-2026-41313 | medium | — | pypdf | 6.9.2 | — |
| CVE-2026-41314 | medium | — | pypdf | 6.9.2 | — |
| CVE-2026-41425 | medium | — | authlib | 1.6.9 | — |
| CVE-2026-41691 | medium | — | i18next-http-backend | 3.0.2 | — |
| CVE-2026-42034 | medium | — | axios | 1.15.0 | — |
| CVE-2026-42036 | medium | — | axios | 1.15.0 | — |
| CVE-2026-42037 | medium | — | axios | 1.15.0 | — |
| CVE-2026-42038 | medium | — | axios | 1.15.0 | — |
| CVE-2026-42039 | medium | — | axios | 1.15.0 | — |
| CVE-2026-42041 | medium | — | axios | 1.15.0 | — |
| CVE-2026-42042 | medium | — | axios | 1.15.0 | — |
| CVE-2026-42044 | medium | — | axios | 1.15.0 | — |
| CVE-2026-42308 | medium | — | pillow | — | — |
| CVE-2026-42309 | medium | — | pillow | — | — |
| CVE-2026-42310 | medium | — | pillow | — | — |
| GHSA-39q2-94rc-95cp | medium | — | dompurify | 3.3.2 | — |
| GHSA-jgpv-4h4c-xhw3 | medium | — | pillow | — | — |
| CVE-2026-41140 | low | — | poetry | 2.3.3 | — |
| CVE-2026-42040 | low | — | axios | 1.15.0 | — |
| GHSA-4fx9-vc88-q2xc | low | — | pillow | — | — |
| CVE-2020-13091 | unknown | — | pandas | — | — |
| CVE-2022-42969 | unknown | — | py | 1.11.0 | — |
| OSV-2022-1074 | unknown | — | pillow | — | — |
| OSV-2022-715 | unknown | — | pillow | — | — |
| PYSEC-2023-175 | unknown | — | pillow | — | — |
| PYSEC-2023-183 | unknown | — | opencv-python | — | — |
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